基于多尺度小波变换的二维图像角点检测技术

Multi-Scale Wavelet Based Two Dimensional Corner Detection

提出一种基于多尺度小波变换的二维图像角点检测算法。首先利用二维零交叉边缘检测算子对图像进行边缘提取得到二值边缘图，通过基于边素（边过程）的围线跟踪算法得到图像的边缘围线。对边缘围线的方向曲线进行多尺度小波变换，利用变换结果的局部最大值信息检测和定位出图像角点。仿真结果表明该算法可有效地实现二维图像的角点检测与定位。

A multi scale wavelet based algorithm for detecting and locating corners in 2D images is proposed. First using Zero Crossing Based 2D Edge Detector we can get the two value edge graph; after edge linking and giving each planar curve its orientation space representation we can get the orientation curves. Based on the multi scale wavelet transform of the orientation curves we can utilize the information of local maximum positions to detect and locate the corners. Experimental results with some synthetic and real images show that this algorithm has high precision and stability of the corner detection and location.